AndreaBozzo/ceres-open-data-index huggingface dataset:
The Tunisian sanitary mandate Collaborative Process Evaluation: Comprehensive Dataset of Interview Analyses, PPP-Tool Quality Attributes' definition, Historical Context, and Actor-Scale Collaborative Evaluation Results

[Lien vers la fiche source] This dataset consists of supplementary data from the paper evaluating a public-private partnership (PPP) in the veterinary sector in Tunisia: the Sanitary Mandate. The evaluation was conducted remotely from March to June 2021. It includes an Excel spreadsheet containing the analysis of interviews conducted during the evaluation, capturing responses from different groups of stakeholders involved in the PPP. The database is structured to support the qualitative evaluation of collaboration within the PPP and includes analysed data from semi-structured interviews with various actors at both regional and national levels. The analysis focuses on the historical and contextual elements of the evaluated PPP as well as the collaborative processes between public and private actors. Additionally, a supplementary Word document accompanies this dataset, containing three appendices: Appendix 1: The description of the study area Appendix 2: The different interview guides used for the semi-structured interviews with various stakeholder groups. Appendix 3: Results of the historical and contextual analysis of the evaluated PPP. Appendix 4: Results of the collaborative evaluation, providing feedback from public and private actors at both regional and national levels, with separate analysis for each group and scale. Box: A definition of the different quality attributes of the PPP Process Evaluation Tool. Description of the study area
Valorcarn-TETIS: Semantic groups of terms

[Lien vers la fiche source] Text-Mining: The extracted terms are gathered according the head (first and last words) (e‧g. (1) food consumption / food pathogen / food preservation, (2) spoiled biltong / venison biltong / wet biltong, and so forth. -- Valorcarn Project (2015-2017) [project supported by GloFoodS program (INRA-Cirad)]. Topic: Mining of scientific documents for identification of process that enables to reduce losses and waste.
A corpus of 1000 authentic SMS in French with spatial labels

[Lien vers la fiche source] Extract of 1000 authentic French SMS from a corpus of more than 88000 SMS (http://88milsms.huma-num.fr/). Spatial entities are tagged (with label). First, an automatic labelling approach based on text-mining techniques is applied in order to obtain the first corpus ("corpus1_automatic_labelling_1000SMS‧xml"). The second corpus ("corpus2_manual_labelling_1000SMS‧xml") has manual tags.
TRANSMAT n-Ary relations

[Lien vers la fiche source] This dataset presents a Gold Standard of data annotated on documents from the Science Direct website. The relations are related to permeability n-Ary relations, as defined in the TRANSMAT Ontology ([https://ico.iate.inra.fr/atWeb/], [https://doi.org/10.15454/NK24ID], [http://agroportal.lirmm.fr/ontologies/TRANSMAT]). The data were obtained from the agregation of partial n-Ary relations extracted form the document tables (TRANSMAT tables data, [https://doi.org/10.18167/DVN1/GCZBC9]) and argument instances form the texts (TRANSMAT Gold Standard, [https://doi.org/10.18167/DVN1/U7HK8J]). The aggregation was performed by one annotator. They are presented in table format, without reproducing the full text, for copyright purposes. The information available on each annotation are: Relation (the relation concept), Result_Argument (the argument instance, signature of the relation), Arguments (the argument instances of the relation), Table (the table nam in as it appears in the document), Caption (the full table caption), Segment (the section and sub-section in which the table appears), Document (the original document) and DOI (the document DOI). The code of the project for wich this Gold Standard was designed is available here: [https://github.com/Eskode/ARTEXT4LOD]
Code for: Combining global tree cover loss data with historical national forest-cover maps to look at six decades of deforestation and forest fragmentation in Madagascar.

[Lien vers la fiche source] This dataset includes the code used in the following article: Vieilledent G., C. Grinand, F. A. Rakotomalala, R. Ranaivosoa, J.-R. Rakotoarijaona, T. F. Allnutt, and F. Achard. 2018. Combining global tree cover loss data with historical national forest-cover maps to look at six decades of deforestation and forest fragmentation in Madagascar. Biological Conservation. 222: 189-197. [doi:[10.1016/j.biocon.2018.04.008]]. [bioRxiv: 147827]. Results from this article have been updated for the periods 2010-2015 and 2015-2017. A development version of this code is available on GitHub: [ghislainv/deforestation-maps-Mada].
Effect of tillage date on germination and phenology of weeds in sugarcane, at Bassin Plat, Reunion Island (2019-2020)

[Lien vers la fiche source] Evaluation of the effect of the month of tillage along the year on the weed germination and phenology in sugarcane crop at Bassin Plat, Reunion Island. 2019-2020. Experimental design, 12 dates of tillage, 2 replications, 4-6 observation dates. This Dataset covers 170 plant surveys and 39 weed species.
HSI Database on fresh yam slices for dry matter at CIRAD, France (year 2)

[Lien vers la fiche source] Yam tubers were purshased in maket at Montpellier. They are from three origins : Ghana, France and Brasil. One tuber of each origin is used for HSI measurement at 0, 15, 30, 45, 60, 75 days of storage. In this database, we have mean spectra of hyperspectral images acquired on slices of fresh yam. These slices were divided from proximal, central and distal zone of each tuber. We have also dry matter (DM) value of each slices.
Arabic corpus and entities dealing with animal disease surveillance extracted with PADI-web

[Lien vers la fiche source] The corpus contains 53 Arabic articles automatically extracted from the PADI-web tool (https://www.padi-web-one-health.org). Each article dealing with animal disease surveillance is associated with an Id. Epidemiological named entities manually extracted from this Arabic corpus: - Disease: Names of diseases affecting animals (example: مرض الالتهاب الشعبى المعدى، مرض الحمى القلاعية) - Host: Names of animals (example: الأبقار، الجاموس، الكلاب) - Location: Names of geographical locations and regions (example: الشرق الأوسط، مصر، المغرب) - Date: References to specific or relative dates, including years, durations, months, and days. The characters used to separate the components of the date are an integral part of it (example: شهر كانون الثاني / يناير الجاري، لسنة 2017، الجمعة 17 ماي 2019، فبراير الماضي) - Pathogen: Names of viruses, bacteria, fungi, or parasites capable of causing disease in a host (example: سات 2، O/EA-3، H5N1) - Symptoms: Symptoms caused by diseases in animals (example: ترتفع درجة حرارة الحيوان، صعوبة في المشي والحركة، قروح القدم، عرج بالأرجل، فقد الشهية، موت)
Rainfed rice yield and management data from 2006 to 2010 on farmer's fields under conservation agriculture in the Lake Alaotra region of Madagascar

[Lien vers la fiche source] Data on rainfed rice production and management were collected for cropping seasons 2006–2007, 2007–2008, 2008–2009 and 2009–2010 around five villages of the BV-Lac programme on lowland and hillside farmer's fields under conservation agriculture in the Lake Alaotra region of Madagascar, resulting in 3803 site x management x soil x season combinations.
Input data for: Combining global tree cover loss data with historical national forest-cover maps to look at six decades of deforestation and forest fragmentation in Madagascar.

[Lien vers la fiche source] This dataset includes input data used in the following article: Vieilledent G., C. Grinand, F. A. Rakotomalala, R. Ranaivosoa, J.-R. Rakotoarijaona, T. F. Allnutt, and F. Achard. 2018. Combining global tree cover loss data with historical national forest-cover maps to look at six decades of deforestation and forest fragmentation in Madagascar. Biological Conservation. 222: 189-197. [doi:[10.1016/j.biocon.2018.04.008]]. [bioRxiv: 147827]. Results from this article have been updated for the periods 2010-2015 and 2015-2017.
A Manually Curated and Automatically Scraped Corpus of English Scientific Articles in the Field of Agroecology

[Lien vers la fiche source] This dataset includes a list of experimental variables from sugarcane agroecological systems, described by researchers (source variables), a list of candidate experimental variables from AEGIS, and the ground truth of correct matchings between source and candidate variables. It also contains English-language scientific articles related to the field of agroecology, collected using two complementary methods: (a) automatic web scraping through the CORE and Europe PMC APIs, and (b) manual selection and curation by three domain experts.
Weed survey in sugarcane in Zuenoula, Côte d'Ivoire (1991-1992)

[Lien vers la fiche source] Study of weed communities of sugar cane in the sugar complex of Zuénoula (Sodesucre), Côte d´Ivoire (1991-1992). Abundance index rating 1-9. This dataset covers 261 plant surveys for 124 weed species.
Descriptive sensory analysis data for boiled cassava roots in Benin.

[Lien vers la fiche source] This file contains descriptive sensory data of boiled cassava that was collected using panel trained following a [standardized methodology]. The data was collected by UAC-FSA team in Benin using RTBfoods [standard operating procedures] developed in work package 2 for the use by trained sensory panel. The cleaning of the data was conducted following guidelines as outlined in [RTBfoods manual].
Experts elicited rice yields and cropping practices, in West Africa, for 1990-2021 period

[Lien vers la fiche source] Distributions de rendements du riz et pratiques culturales associées (i‧e., niveau de gestion de l'eau, intensité de fertilisation, d'utilisation d'herbicides, utilisation de semences certifiées), au niveau administratif 1, en Afrique de l'Ouest. Ces données ont été collectées en 2020-2021 auprès d'experts, via la méthode d'élicitation probabiliste d'experts.
Invasion degree and priority areas for clearing for Reunion Island (2024)

[Lien vers la fiche source] Island-wide invasion degree and priority areas for clearing invasive plant species on Reunion Island. Data from paper Rouget et al. (2024) From planning to implementation: a multi-stakeholder partnership for managing plant invasions in tropical island ecosystems. Biological Invasions. [https://doi.org/10.1007/s10530-024-03454-8]
Cu K-edge X ray absorption spectra of raw and treated organic wastes

[Lien vers la fiche source] Copper (Cu) is a potentially toxic trace element present in large amounts in organic wastes (OWs) spread on agricultural lands as fertilizer. Cu speciation in OW is a crucial parameter to understand its fate in soil after spreading and to assess the risk associated with agricultural recycling of OW. Here, we share K-Cu X-ray absorption spectra from raw OWs up to digestates and/or composts for a large series of OWs sampled in full-scale plants. Data were recorded at the SSRL (Stanford, USA) on the 11−2 beamline and at the Australian synchrotron on the XAS Beamline.
Dataset of Knomana used to conduct the evaluation of RCA on large volumes of complex relational data

[Lien vers la fiche source] This dataset contains an anonymized except from Knomana knowledge base extracted November 10, 2019, and the output files resulting from the evaluation of seven algorithms (fca, ceres, pluton, Hermes, and iceberg with 10%, 30%, and 40% threshold) used to calculate the RCA lattice on the except.
Weed survey in cotton rotation in Northern Cameroon (1988-1992)

[Lien vers la fiche source] Characterization of weed communities in cotton rotation (cotton, maiz, sorghum, groundnut) in Northern Cameroon, within the framework of the Projet FAC Regional Malherbologie Garoua Cameroun. Phytoecological study in abundance scale 1-5 transformed to scale 1-9. This dataset covers 540 surveys of plants and environmental factors for 157 weed species.
"Petit Plateau" permanent plots first census, 2001-02, Nouragues forest

[Lien vers la fiche source] Forest censuses from the [Nouragues research station], CNRS, French Guiana, in the [Guyafor network]. This dataset gathered trees location, botanical identification and size measurement from the 2001-02 census. The mission of the Nouragues research Station is to foster scientific research in tropical rain forests, at a site remote from major human activities. [Guyafor Data Dictionary]
"Petit Plateau" permanent plots eighth census, 2022, Nouragues forest

[Lien vers la fiche source] Forest censuses from the [Nouragues research station], CNRS, French Guiana, in the [Guyafor network]. This dataset gathered trees location, botanical identification and size measurement from the 2022 census. The mission of the Nouragues research Station is to foster scientific research in tropical rain forests, at a site remote from major human activities.
KEOPS - LEAP4FNSSA - Output

[Lien vers la fiche source] The Long-term EU-AU Research and Innovation Partnership for Food and Nutrition Security and Sustainable Agriculture (LEAP4FNSSA) is a Coordination and Support Action (CSA). The main objective of the project is to provide a tool for European and African institutions to engage in a Sustainable Partnership Platform for research and innovation on Food and Nutrition Security, and Sustainable Agriculture (FNSSA). Work Package 3 (WP3) of the project aims to provide the core information system for the partnership platform. These data are the results of three virtual workshop sessions organized on 23rd and 24th of November 2020 (1st and 2nd sessions), and 9th of December 2020 (3rd session). Topic of data: Evaluation of KEOPS output Data description: (1) Type of results and visualisations to propose for the KEOPS platform, (2) 7 contributions (WP1 + HLPD members) + 9 contributions (WP3 members)
Descriptive sensory analysis data for boiled yam in Benin.

[Lien vers la fiche source] This file contains descriptive sensory data of boiled yam that was collected using panel trained following a [standardized methodology]. The data was collected by UAC-FSA team in Benin using RTBfoods [standard operating procedures] developed in work package 2 for the use by trained sensory panel. The cleaning of the data was conducted following guidelines as outlined in [RTBfoods manual]
Digital appropriation among market gardeners in Benin, 2022–2023

[Lien vers la fiche source] Survey on the digital divide and appropriation of digital tools among market gardeners in Benin. The study follows a four-stage framework (motivation, access, capacities, and usage) and involved 1,500 face-to-face interviews conducted in 2022–2023. The dataset includes socio-demographic, economic, agricultural, and digital use information.
Protocol, Replication Data and Codes for: Non-pyrethroid indoor residual spraying or intensive behavior change communication in combination with long-lasting insecticidal nets against malaria disease in West Africa: a pragmatic transnational cluster-randomized controlled trial.

[Lien vers la fiche source] This repository contains the protocol, the data and analyses scripts for a Randomized Controlled Trial evaluating Indoor Residual Spraying (IRS) or Behavioral Change Communication in combination to Long-Lasting Insecticidal Nets (LLIN) in Burkina Faso (BF) and Côte d'Ivoire (CI). A detailed description of the dataset organization and content is provided in the 'README.md' file.
Database of tropical weeds functional traits based on the species list of the Wiktrop portal and built using an automatic extraction with a conversational large language model from online botanical desctriptions of species

[Lien vers la fiche source] This database have been compiled based on the weed species list available on the Wiktrop online portal (https://wiktrop.org/fr, gathering 1049 species when the database was created). For each species, we used a conversational Large Language Model (LLM) to automatically extract functional traits values from different online sources (https://wiktrop.org/fr, https://www.worldfloraonline.org/, https://www.feedipedia.org/, https://tropical.theferns.info/, https://www.wikipedia.org/). The collected data has been cured and filtered to remove traits with a fuzzy definition and non realistic trait values while keeping only traits jugged as ecologically relevant (however, as the extraction method is based on an automatic process involving a LLM, and as the entire list of trait values are not human-verified, the dataset may partially contain spurious or erroneous values). For detailed methods, please refer to the related document (https://agritrop.cirad.fr/614130/).
Identification, localization and numbering of islets and geomorphological units of the Betsiboka delta (northwestern Madagascar) on Sentinel 2 satellite images (2020, 2021)

[Lien vers la fiche source] Long time series (more than a century) are difficult to construct but they are useful for understanding hydro-geomorphological phenomena that take place over the long term and anticipating future risks. The [Betsiboka River] into which the Ikopa flows from Antananarivo, capital of Madagascar, is characterized by hyper-sedimentation which gives it a red color. Downstream, at Mahajanga, the river forms a delta nested in its estuary and influenced by the tides, which becomes blocked over the years, then flows into Bombetoka Bay and the Mozambique Channel. This clogging takes the form of islets which are colonized by the mangrove, once emerged. Monitoring a population of islets and their cover by mangroves makes it possible to evaluate the sedimentation speed of the delta and the dynamics of the mangroves (colonization, growth, mortality). These data - and the associated article - illustrate the stages of constructing a map representing all of these islets, located and numbered in 2021 (Satellite Sentinel 2 image of 04/28/21, low tide = -1.86) , the delimitation of the nested delta, the location of the islets according to an upstream-downstream gradient, finally the contours and numbering of each islet. This inventory can thus serve as a reference, as an end point for historical studies, or as a starting point for multi-year monitoring enabled by the Sentinel 2 satellite. Les séries chronologiques longues (plus d'un siècle) sont difficiles à constituer mais elles sont utiles pour comprendre les phénomènes hydro-géomorphologiques qui se déroulent sur le temps long et anticiper les risques à venir. Le fleuve Betsiboka dans lequel se jette l'Ikopa depuis Antananarivo, capitale de Madagascar, se caractérise par une hyper-sédimentation qui lui donne une couleur rouge. En aval, au niveau de Mahajanga, le fleuve forme un delta emboité dans son estuaire et influencé par les marées, qui se colmate au fil des années, puis se déverse dans la baie de Bombetoka et le canal du Mozambique. Cette colmatation prend la forme d'îlots qui sont colonisés par la mangrove, une fois émergés. Le suivi d'une population d'îlots et de leur couverture par des palétuviers permet d'évaluer la vitesse de sédimentation du delta et la dynamique des mangroves (colonisation, croissance, mortalité). Ces données -et l'article associé- illustrent les étapes de construction d'une carte représentant la totalité de ces îlots, localisés et numérotés en 2021 (image Satellite Sentinel 2 du 28/04/21, marée basse = -1,86), la délimitation du delta emboité, la localisation des îlots selon un gradient amont-aval, enfin les contours et numérotation de chaque îlot. Cet inventaire peut ainsi servir de référence, comme point d'aboutissement d'études historiques, ou comme point de départ d'un suivi pluri-annuel permis par le satellite Sentinel 2.
Database on agroforestry and soil organic carbon in the Latin America and the Caribbean region

[Lien vers la fiche source] This dataset comprises data from a systematic review done after a comprehensive literature search conducted in January 2023 to identify peer-reviewed and grey literature on the impact of agroforestry on soil organic carbon (SOC) in Central America, the Caribbean, and specific regions of South America (Colombia, Peru, Ecuador, and Venezuela). We used the following academic databases: Web of Science Core Collection, Scopus, CAB Direct, and Agricola (accessed through the OVID platform, www.ovid.com). We also included Tthe institutional database of the Centro Agronómico Tropical de Investigación y Enseñanza (CATIE, https://repositorio.catie.ac.cr/) was also included to expand the search with grey literature (PhD and MSc thesis). This database compiles the results of 60 studies, 311 paired observations of SOC storage rates and 332 response ratios (RR) from 44 and 54 field studies conducted between 1986 and 2022. From included studies, we extracted SOC data for both agroforestry plots and their corresponding control plots. We captured mean values, indicators of dispersion (standard error [SE] or standard deviation [SD]), and the number of replicates for both treatment and control groups. Our database represents, to our knowledge the widest and most rigorous analysis of available data on the subject. This database can help bridging the knowledge gap on the role of agroforestry in soil carbon storage in the Latin America and the Caribbean (LAC) region. It also helps identifying key drivers of SOC storage variability and provide insights for developing effective carbon management strategies in agroforestry systems. It can provide robust guidance for policymakers and land managers seeking to optimize carbon sequestration and enhance ecosystem services in the LAC region.
Baseline to measure the impact of FFS-LFP on food diversity in agricultural households in Uganda - 2025

[Lien vers la fiche source] Baseline survey conducted to assess the impact of FFS-LFP on food diversity among farming households in Uganda, involving nearly 1,100 households. The survey was conducted in March 2025 in four districts in Uganda (Amuru, Iganga, Kalaki, and Serere). The survey provides a description of household composition, farming systems, and consumption patterns.
CIRAD wood chemical composition database

[Lien vers la fiche source] This dataset aggregates data extracted from the CIRAD wood chemical composition database, describing 614 botanical species belonging to 358 genera and 89 families, in Montpellier, France. WOOD CHEMICAL COMPOSITION DATABASE The CIRAD wood chemical composition database is a part of the general CIRAD wood database covering a wide range of technological properties, mainly physics and mechanics, anatomy, natural durability and preservation, wood machining, etc. 614 wood species are described with measurements of wood polymers (cellulose, lignin and pentosan) and overall extraneous components (ethanol-benzene, hot water extracts, ash, silica content). These measurements were taken between 1945 and 1990 using the same standard protocols. Chemical characteristics were measured on specimen from 1,194 trees corresponding to 614 botanical species, 358 genera and 89 families. DESCRIPTION OF THE DATASET It consists in the following file: Cirad chemical wood composition database - dataset‧xlsx General information The file is in XLSX format. Data fields The file provides the following characteristics for each specimen (also given in the second tab of the file Cirad chemical wood composition - dataset‧xlsx): • Test: Each individual set of measurements • Year: Calendar year of the measurement • Tree: CTFT reference in the wood collection • Origin: Provenance country of the tree • Family: Botanical family (updated version June 2018) • Species: Botanical genus and species (updated version June 2018) • Density Code: 1- value from Cirad wood collection; 2- value from literature; 3- missing value • Density: Value from wood collection or sometimes from literature • AB ext: Ethanol/benzene extract (%) • W ext: Water extract (%) • Ash: Mineral content (%) • Silica: Silica content (%) • Lignin: Lignin content (%) • Pentosan: Pentosan content (%) • Cellulose: Cellulose content (%) • Balance: Summation of all contents except silica (%) % values are always related to anhydrous wood gross weight